Performance Evaluation of Spatial Data Management Systems Using GeoSpark

2020 ◽  
Author(s):  
Hansub Shin ◽  
Kisung Lee ◽  
Hyuk-Yoon Kwon
Keyword(s):  
Performance Evaluation ◽  
Data Management ◽  
Spatial Data ◽  
Management Systems ◽  
Data Management Systems ◽  
Spatial Data Management

Efficient distance join query processing in distributed spatial data management systems

2020 ◽  
Vol 512 ◽  
pp. 985-1008 ◽  
Author(s):  
Francisco García-García ◽  
Antonio Corral ◽  
Luis Iribarne ◽  
Michael Vassilakopoulos ◽  
Yannis Manolopoulos
Keyword(s):  
Data Management ◽  
Query Processing ◽  
Spatial Data ◽  
Management Systems ◽  
Data Management Systems ◽  
Spatial Data Management

scholarly journals The Design and Implementation of Spatial Data Explorer based on Shell

2014 ◽  
Vol XL-4 ◽  
pp. 145-148
Author(s):  
D. Liu ◽  
Q. Sun ◽  
G. Wang ◽  
L. Qiao
Keyword(s):  
Data Management ◽  
Spatial Data ◽  
Integrated Management ◽  
Heterogeneous Data ◽  
Management Systems ◽  
Data Management Systems ◽  
Attribute Data ◽  
Graphical Data ◽  
Spatial Data Management ◽  
Database Technology

Spatial data is core of the Geographic Information System (Shorter form the GIS). Spatial data management is an important part of the GIS, many present spatial data management systems are usually only attached importance to storing and managing graphical data and attribute data of GIS in RDBMS. Making use of a spatial database technology to realize the integrated management, but this is not satisfied to quick access and management for many users. However, considering one way of the visual management, using the shell namespace extension framework and a registered mode integrated with the windows explorer, this paper has designed and developed a visual management component of data explorer about the spatial data in GIS so as to convenient to manager the distribution, multi-source, heterogeneous data. In addition, according to the requirements, users could organize the spatial data and access and manage quickly huge amounts of spatial data.

scholarly journals CAPABILITIES OF THE SYSTEM «1C: ENTERPRISE» AND GEOSPATIAL SOLUTIONS IN THE FIELD OF SPATIAL DATA MANAGEMENT

2021 ◽  
Vol 6 ◽  
pp. 84-88
Author(s):  
Vladislav A. Zuev ◽  
Evgeniy Yu. Voronkin
Keyword(s):  
Data Management ◽  
Spatial Data ◽  
Functional Model ◽  
Open Data ◽  
Management Systems ◽  
Practical Application ◽  
Access Protocol ◽  
Data Management Systems ◽  
Geoinformation Systems ◽  
Spatial Data Management

The article presents the ways integrating the "1C:Enterprise" software with various application solutions, including geoinformation systems. The purpose of the study is to consider various ways of interaction between "1C:Enterprise" and GIS systems. Various protocols that facilitate integration with such systems, as Open Data Protocol (OData), Simple Object Access Protocol (SOAP), as well as a mechanism for supporting Web-services built into the "1C:Enterprise" platform are considered. Methods of representation of spatial data are given. A functional model of data integration is developed and built on the example of interaction with a fairly common geographic information system ESRI ArcGIS Online. A practical application of the integration of the software "1C:Enterprise" and geospatial data management systems is regarded.

Matters of geoportal interfaces designing

2019 ◽  
Vol 944 (2) ◽  
pp. 46-56
Author(s):  
S.A. Yamashkin ◽  
A.A. Yamashkin ◽  
O.A. Zarubin
Keyword(s):  
Spatial Data ◽  
Interface Design ◽  
Third Party ◽  
Management Systems ◽  
Data Management Systems ◽  
Web Interfaces ◽  
Graphical Interfaces ◽  
Spatial Data Management ◽  
Software Modules ◽  
Cross Platform

The article is devoted to a detailed analysis of the problem of designing graphic geoportal interfaces. The authors formulated the basic points for solving problems in this field, having given the rationale and detailed description of each of them. The emphasis is made on the flexible arrangement of the design and development of interfaces, aiming at the future realities, at the human centricity of the interface design process, at the need for cross-platform adaptive web interfaces, at the preference to use proprietary and third-party software modules over the implementation of spatial data management systems. Lists of basic functional and quality requirements for graphical interfaces of geoportals are given. The geoportal “Natural and cultural heritage of Mordovia” is presented as an illustrative example of the various implementation of graphical user web interfaces. An experimental assessment of the effectiveness of measures to improve geoportal graphical interfaces is given. It is shown that properly over-thought interfaces of geoportal systems can contribute to solving various kinds of problems in many fields.

Clinical Trial Data Management Software: A Review of the Technical Features

2019 ◽  
Vol 14 (3) ◽  
pp. 160-172 ◽  
Author(s):  
Aynaz Nourani ◽  
Haleh Ayatollahi ◽  
Masoud Solaymani Dodaran
Keyword(s):  
Clinical Trial ◽  
Clinical Trials ◽  
Data Management ◽  
Clinical Data ◽  
Clinical Trial Data ◽  
Trial Data ◽  
Data Management System ◽  
Management Systems ◽  
Data Management Systems ◽  
Technical Features

Background:Data management is an important, complex and multidimensional process in clinical trials. The execution of this process is very difficult and expensive without the use of information technology. A clinical data management system is software that is vastly used for managing the data generated in clinical trials. The objective of this study was to review the technical features of clinical trial data management systems.Methods:Related articles were identified by searching databases, such as Web of Science, Scopus, Science Direct, ProQuest, Ovid and PubMed. All of the research papers related to clinical data management systems which were published between 2007 and 2017 (n=19) were included in the study.Results:Most of the clinical data management systems were web-based systems developed based on the needs of a specific clinical trial in the shortest possible time. The SQL Server and MySQL databases were used in the development of the systems. These systems did not fully support the process of clinical data management. In addition, most of the systems lacked flexibility and extensibility for system development.Conclusion:It seems that most of the systems used in the research centers were weak in terms of supporting the process of data management and managing clinical trial's workflow. Therefore, more attention should be paid to design a more complete, usable, and high quality data management system for clinical trials. More studies are suggested to identify the features of the successful systems used in clinical trials.

A Review of Clinical Data Management Systems Used in Clinical Trials

2019 ◽  
Vol 14 (1) ◽  
pp. 10-23 ◽  
Author(s):  
Aynaz Nourani ◽  
Haleh Ayatollahi ◽  
Masoud Solaymani Dodaran
Keyword(s):  
Clinical Trials ◽  
Data Management ◽  
Clinical Data ◽  
Data Management System ◽  
Management Systems ◽  
Management Process ◽  
Data Management Systems ◽  
Ovid Medline ◽  
Research Findings ◽  
Accuracy Of Results

Background:A clinical data management system is a software supporting the data management process in clinical trials. In this system, the effective support of clinical data management dimensions leads to the increased accuracy of results and prevention of diversion in clinical trials. The aim of this review article was to investigate the dimensions of data management in clinical data management systems.Methods:This study was conducted in 2017. The used databases included Web of Science, Scopus, Science Direct, ProQuest, Ovid Medline and PubMed. The search was conducted over a period of 10 years from 2007 to 2017. The initial number of studies was 101 reaching 19 in the final stage. The final studies were described and compared in terms of the year, country and dimensions of the clinical data management process in clinical trials.Results:The research findings indicated that none of the systems completely supported the data management dimensions in clinical trials. Although these systems were developed for supporting the clinical data management process, they were similar to electronic data capture systems in many cases. The most significant dimensions of data management in such systems were data collection or entry, report, validation, and security maintenance.Conclusion:Seemingly, not sufficient attention has been paid to automate all dimensions of the clinical data management process in clinical trials. However, these systems could take positive steps towards changing the manual processes of clinical data management to electronic processes.

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